NASA SBIR 2012 Solicitation

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
IAVO Research and Scientific
415a East Chapel Hill St.
Durham, NC 27701 - 3303
(919) 433-2400

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Melinda Thielbar
mthielbar@iavo-rs.com
415a East Chapel Hill St.
Durham, NC 27701 - 3303
(919) 433-2400

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Matthew Heric
mheric@iavo.com
415a East Chapel Hill St.
Durham, NC 27701 - 3303
(919) 433-2400

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 3
End: 5

Technology Available (TAV) Subtopics
Fault Management Technologies is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
DyMA-FM (Dynamic Multivariate Assessment for Fault Management) is a software architecture for real-time fault management. Designed to run in a distributed environment, DyMA-FM enables model-based reasoning and predictive modeling for FM applications. With the appropriate hardware, DyMA-FM can respond to signals at the device level while still placing each signals in context with the larger system and the overall mission objective. This functionality is enabled by a layered software architecture and decision-making hierarchy where each level receives signals from the level below and context from the level above. The contextual processing reduces false alarms and increases fault coverage. The distributed architecture, meanwhile, speeds processing time and reduces the burden on the communication system, enabling faster and more robust response to fault conditions.

Building on our current and past experience with distributed system management and mathematical modeling, we will implement and test a prototype of the proposed software. Test data will be provided by Boeing Corporation and will consist of a representative set of signals from an actual spacecraft, collected either under actual use conditions or during a system test. Implementation will require the development of mathematical models that represent the relationships between the test signals, and this portion of the Phase I tasks will result in an analysis of the model's ability to support fault detection and management. Testing will focus on the software's fault coverage, the speed of the system responses, and the system's sensitivity to timing issues such as message lag and message collision. Results from initial tests will be reviewed, and suggested changes to the software will be documented.

The final output from the project will include the system prototype, test results, and an analysis of the DyMA-FM's ability to produce superior fault coverage.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
A modern spacecraft will have thousands of sensors and hundreds of systems. This complexity means that operators and FM system designers need state-of-the-art-tools at their fingertips. DyMA-FM, as a software architecture, will support efficient fault management system design and implementation, enable the iterative FM design process currently encouraged by the NASA Fault Management Handbook, and make it possible to automate large portions of FM for improved safety and reduced manning costs.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
DyMA-FM is particularly applicable to the NASA vision "To reach for new heights and reveal the unknown so that what we learn and do will benefit all humankind." FM for complex systems is a known problem in many engineering fields. The technology developed under this SBIR has many applications for commercial aircraft, smart utility grids, health care, and the automotive industry.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)

Air Transportation & Safety Algorithms/Control Software & Systems (see also Autonomous Systems) Analytical Methods Autonomous Control (see also Control & Monitoring) Avionics (see also Control and Monitoring) Characterization Command & Control Data Modeling (see also Testing & Evaluation) Diagnostics/Prognostics Knowledge Management Lifetime Testing Models & Simulations (see also Testing & Evaluation) Process Monitoring & Control Processing Methods Quality/Reliability Simulation & Modeling Software Tools (Analysis, Design) Space Transportation & Safety Spacecraft Design, Construction, Testing, & Performance (see also Engineering; Testing & Evaluation) Spacecraft Instrumentation & Astrionics (see also Communications; Control & Monitoring; Information Systems) Verification/Validation Tools